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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 13151
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    INDEX
    Explanations

    mentions of the word "corn"

    oai_token-act-pair · gpt-3.5-turbo

    references to corn and related products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lumpur
    -0.83
    ufact
    -0.72
    deen
    -0.70
    ENA
    -0.69
    llers
    -0.67
     reperto
    -0.64
     Cheong
    -0.64
    Known
    -0.64
    igree
    -0.64
    ":"/
    -0.63
    POSITIVE LOGITS
    meal
    1.06
    flake
    0.97
    bread
    0.97
    flower
    0.95
    elia
    0.93
    rows
    0.92
    fed
    0.90
    hus
    0.88
    seed
    0.88
    corn
    0.83
    Activations Density 0.012%

    No Known Activations